Python: Complete Language Course
Master Python from first principles to advanced patterns used in real production code. By the end, you will have built working programs covering data structures, file I/O, OOP, and functional patterns.
Course Content
6 modules ยท 30 lessonsPython Basics and Syntax
After this module, students can write, run, and debug basic Python programs using variables, operators, and control flow.
How to install Python and run your first script
Python installation, interpreter vs script mode, print function, comments, indentation, running .py files
Python variables and data types explained
int, float, str, bool, type function, dynamic typing, variable naming rules, type conversion
Python operators and expressions โ complete guide
arithmetic operators, comparison operators, logical operators, assignment operators, operator precedence, floor division, modulo
Python if else and conditional logic
if statement, elif chain, else clause, nested conditionals, truthy and falsy values, ternary expression
Python for loops and while loops
for loop, while loop, range function, break, continue, else on loops, infinite loop prevention
Data Structures
After this module, students can store, access, and manipulate data using Python's core built-in structures: lists, tuples, dictionaries, and sets.
Python lists โ creation, indexing, and common methods
list creation, indexing, negative indexing, slicing, append, extend, remove, pop, len, list mutability
Python tuples vs lists โ when to use each
tuple creation, immutability, packing and unpacking, single-element tuple, tuple vs list performance, named use cases
Python dictionaries โ keys, values, and methods
dict creation, key access, get method, update, delete keys, iterating dict, dict comprehension, nested dicts
Python sets โ unique collections and set operations
set creation, add, remove, discard, union, intersection, difference, symmetric difference, frozenset, membership testing
Python list comprehensions and generators
list comprehension syntax, conditional comprehension, nested comprehension, generator expressions, memory efficiency, when to use each
Functions and Functional Patterns
After this module, students can write reusable functions with various argument styles, closures, and apply functional tools like map, filter, and decorators.
How to define and call functions in Python
def keyword, parameters vs arguments, return statement, default parameters, keyword arguments, multiple return values, docstrings
Python *args and **kwargs explained
*args syntax, **kwargs syntax, combining argument types, argument order rules, unpacking into function calls, practical use cases
Python lambda functions and when to use them
lambda syntax, lambda limitations, sort with key, map, filter, reduce, lambda vs named function
Python closures and the scope chain
LEGB scope rule, local scope, enclosing scope, global scope, built-in scope, global keyword, nonlocal keyword, closures
Python decorators โ how they work and how to write one
decorator syntax, wrapper function pattern, functools.wraps, decorator with arguments, stacking decorators, practical examples
Object-Oriented Programming
After this module, students can design class hierarchies using inheritance, encapsulation, and polymorphism to model real-world problems in Python.
Python classes and objects โ the basics
class definition, __init__ method, instance attributes, class attributes, self parameter, instantiation, instance methods
Python inheritance and method overriding
single inheritance, super() function, method overriding, isinstance, issubclass, multiple inheritance, MRO
Python dunder methods and operator overloading
__str__, __repr__, __len__, __eq__, __lt__, __add__, __getitem__, operator overloading, when to implement dunders
Python class methods, static methods, and properties
@classmethod, @staticmethod, @property, setter, deleter, cls vs self, factory pattern with classmethod
Python abstract classes and interfaces
abc module, ABC class, @abstractmethod, abstract properties, interface pattern, why abstract classes matter, NotImplementedError alternative
File I/O and Error Handling
After this module, students can read and write files safely, handle exceptions robustly, and work with JSON and CSV data formats.
How to read and write files in Python
open function, read modes, write modes, with statement, read, readline, readlines, write, writelines, file encoding
Python try except โ exception handling patterns
try except block, except with type, else clause, finally clause, raise statement, exception hierarchy, catching multiple exceptions
Python custom exceptions โ how and when to create them
custom exception class, exception hierarchy, __init__ override, contextual error messages, re-raising exceptions, exception chaining
Working with JSON files in Python
json module, json.loads, json.dumps, json.load, json.dump, indent parameter, Python-JSON type mapping, handling JSONDecodeError
Reading and writing CSV files with Python
csv module, csv.reader, csv.writer, csv.DictReader, csv.DictWriter, newline parameter, delimiter, quoting
Advanced Python Patterns
After this module, students can apply advanced Python features including iterators, context managers, type hints, and concurrency primitives to write production-quality code.
Python iterators and the iterator protocol
__iter__, __next__, StopIteration, custom iterator class, iter() and next() built-ins, lazy evaluation, infinite iterators
Python generators โ yield and send explained
yield keyword, generator function, generator object, send method, yield from, generator vs iterator, practical generator patterns
Python context managers โ writing your own with statement
__enter__, __exit__, contextlib.contextmanager, exception suppression in __exit__, resource management pattern, practical examples
Python type hints and how to use them
function annotations, variable annotations, typing module, Optional, Union, List, Dict, Callable, dataclasses, mypy basics
Python threading and multiprocessing basics
threading module, Thread class, GIL, I/O-bound vs CPU-bound, multiprocessing module, Process class, concurrent.futures, ThreadPoolExecutor
